Why Healthcare Should “Double-Down” on Exploring AI-powered BI for Reporting
Not understanding data often is the difference between success and failure.
- Between positive and negative health outcomes.
- Between improving and worsening patient satisfaction.
- Between increasing or decreasing revenue.
Many areas in healthcare rely not only on the collection of data but, importantly, the ability to decipher and act upon it. In that intersection, reporting was born. After the advent of reporting, healthcare organizations looked to business intelligence to understand and act more quickly on the information created by data.
A new three-part article by MedeAnalytics President Scott Hampel focuses on reporting trends in healthcare. Learn why healthcare organizations must transition from manual reporting to AI-fueled predictive analytics.
Get our take on industry trends
Why Predictive Analytics is the Answer to Healthcare’s Big Data Problem
By Scott Hampel Making improvements in healthcare data analytics has the potential to lead to significant cost savings and improved…
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Unfamiliar Healthcare Players, Interoperability and Social Determinants Round Out 2020 Megatrends
By Scott Hampel, president of MedeAnaltyics We conclude our 2020 Megatrends with an exploration of new players entering healthcare, the…
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More Megatrends: Price Transparency, Telehealth, Individualized Medicine
By Scott Hampel, president of MedeAnalytics Now that we’ve dealt with Megatrends one through three, we’re approaching the next set.…
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2020 Megatrends: Consumerism, Data Privacy and Security, AI
With 2020 two weeks old, it’s becoming clear the data produced in the healthcare industry by providers, consumers and payers will power and propel our 9 megatrends. Healthcare data is the foundation on which we’re building everything from healthcare outreach for the underserved to new Internet of Things-based healthcare programs to treatments designed just for you.
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